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\section{Conclusion}
This paper proposes ChronoSearch, a system aimed at dynamically generating a timeline of events related to an entity by extracting events from documents present on the Web. This form of search allows users to gain a quick overview of the events related to an entity. Compared to output from traditional search engines, ChronoSearch frees the user from assimilating events scattered across hundreds of documents.

ChronoSearch is the first dynamic timeline generation tool, to our knowledge, that indiscriminately attempts to extract events from all forms of documents present on the Web. The larger scope of web pages allows ChronoSearch to utilize the redundancy present on the Web to focus its extraction on only the strongest signals; those with the highest accuracy. ChronoSearch’s event description extraction is based on extracting sentences from documents that contain both the entity being searched and an absolute date. The sentence boundary provides both an association between the event, entity, and date as well as a suitable unit of information to describe the event.

The evaluation of this approach shows that the output of ChronoSearch is just as comprehensive as existing manually generated timelines. The evaluation also shows that the duplicate detection and cleansing techniques applied by ChronoSearch greatly improved the precision of the output. The future work outlined in this paper aims to even further increase the accuracy and comprehensiveness of the results by extracting the weaker signals present on the Web and including them in the event descriptions produced by the system.
 
